Domo

APRIL 30, 2021

Digital transformation efforts are placing a sharp focus on disparate data sources. As companies aim to speed business value, they’re realizing the need for data agility. But they’ve got a problem: Most data sits in segmented silos, warehouses, data lakes, databases, and even spreadsheets.

Data Warehouse 98

Data Warehouse Artificial Intelligence Government Digital Transformation 98

Actian

FEBRUARY 17, 2020

You’ve been doing the “digital transformation” thing for a couple of years – integrating your business and IT processes and leveraging technology and data in new ways to drive greater operational efficiency and immersive customer experiences. You need a real-time connected data warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Actian

JULY 17, 2019

Data integration, like the digital-transformation initiatives it supports, is a journey and not a destination. Cloud-based integration platforms and hybrid data warehouses are providing an answer to some of these challenges. Why are distributed queries problematic? How to address the distributed queries challenge?

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Sisense

APRIL 17, 2020

In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data. However, what exactly a digital transformation looks like varies widely from company to company.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Actian

MAY 28, 2019

Data Warehouse-as-a-Service (DWaaS) is a modern solution to address the data management challenges of today’s companies. Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. Anatomy of Data Warehouse-as-a-Service.

Data Warehouse 40

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 40

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.”

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Domo

JUNE 15, 2022

That means your data apps can run on Snowflake right alongside data stored in Domo—and even alongside your Databricks lakehouse—in one seamless experience. No moving or copying data—ever. You get all of this agility with none of the expected trade-offs in performance.

Cloud Computing 86

Cloud Computing Data Governance Data Warehouse Government 86

Actian

FEBRUARY 13, 2020

Does your company have a real-time connected data warehouse where you can aggregate data flowing in from all of your IT systems together with streaming data from IoT, mobile, and SaaS services? The first article looked at manufacturing operations and integrating data across your supply chain.

Data Warehouse 40

Data Warehouse Supply Chain Enterprise Architecture Digital Transformation 40

Tableau

MAY 11, 2022

When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Bronwen Boyd.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Bronwen Boyd.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Data Pine

MAY 29, 2019

That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights. One of the BI architecture components is data warehousing. Data integration.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Actian

MAY 22, 2019

When most company leaders think about their data warehouse and the systems connected to it, they typically think about their internal IT systems. For companies with outsourced supply chains, real time integration with their suppliers’ systems and data warehouse can enable better insights, better security and more supply-chain agility.

Supply Chain 40

Supply Chain Agile Data Warehouse Monitoring 40

Domo

JULY 23, 2024

Breaking down data silos: the CIO’s dilemma Enterprise data is often stuck in silos—scattered across business systems, SaaS applications, and data warehouses. This fragmentation creates “BI breadlines,” where data requests pile up and slow down progress.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Actian

SEPTEMBER 17, 2019

Why your data historian is a poor substitute for a modern time-series capable database. Managing your company’s data and digital assets effectively is essential. What defines “managing data effectively”? Currently, three primary technologies work together to do the work of former data librarians and historians.

Artificial Intelligence 9

Artificial Intelligence Data Warehouse Digital Transformation Data Management 9

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Domo

OCTOBER 22, 2021

All too often, enterprise data is siloed across various business systems, SaaS systems, and enterprise data warehouses, leading to shadow IT and “BI breadlines”—a long queue of BI requests that can keep getting longer, compounding unresolved requests for data engineering services. What is a data fabric?

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Actian

JANUARY 15, 2020

You’ve gone through digital transformation – now what? IT and business leaders are learning quickly that digital transformation is only one of many steps on the journey towards operational optimization. Once you have your people and processes in order, it’s time to shift focus towards your data.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Data Management 40

Actian

NOVEMBER 26, 2019

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Reduce the capital outlay of on-premise data center resources.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Digital 8

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. 12) “Too Big To Ignore: The Business Case For Big Data” by Phil Simon.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Actian

AUGUST 19, 2019

Yes, it’s great that you can move IoT data to the cloud for processing, but it is never a good strategy to do something for the sake of doing it – there should be a purpose. In the case of IoT data, that purpose is to enable decision-making – either strategic or operational. Drawbacks to moving your IoT data to the cloud.

Data Warehouse 45

Data Warehouse Digital Transformation Digital Agile 45

Insight Software

JANUARY 6, 2021

It provides a robust, scalable IT infrastructure and stronger integration capabilities that open the door for broader adoption of digital transformation technologies. By using a data warehouse as a means for automating data migration , companies can periodically push data from their live system to a test or development environment.

Supply Chain 98

Supply Chain Finance Planning Data Warehouse 98

Sisense

OCTOBER 14, 2020

Luma Health is a digital health company focused on using technology to improve patient access and engagement and to create smarter provider interactions. To help companies operate with maximum agility and efficiency, GitLab’s data team uses Sisense code-driven analytics, hand in hand with Snowflake.

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Actian

JUNE 17, 2019

“We have more data than we know what to do with.”. Companies have been collecting large amounts of data for years in their ERP, CRM, HR, ITSM systems and many others. With digital transformation of business processes, even more data is being generated about operational processes.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Actian

AUGUST 19, 2019

Yes, it’s great that you can move IoT data to the cloud for processing, but it is never a good strategy to do something for the sake of doing it – there should be a purpose. In the case of IoT data, that purpose is to enable decision-making – either strategic or operational. Drawbacks to moving your IoT data to the cloud.

Data Warehouse 8

Data Warehouse Digital Transformation Digital Agile 8

Actian

AUGUST 5, 2019

Some modern architectures afford the ability to store and process data within the application itself (wherever it is deployed). Digital business processes often involve the use of multiple applications and many data sources. Do you need to replicate data to your cloud data warehouse?

Data Warehouse 40

Data Warehouse Data Mining Agile Digital 40

Actian

AUGUST 5, 2019

Some modern architectures afford the ability to store and process data within the application itself (wherever it is deployed). Digital business processes often involve the use of multiple applications and many data sources. Do you need to replicate data to your cloud data warehouse?

Data Warehouse 8

Data Warehouse Data Mining Agile Digital 8

Astera

DECEMBER 18, 2023

These processes are critical for banks to manage and utilize their vast amounts of data effectively. However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies.

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Actian

OCTOBER 28, 2019

Sustainable competitive advantage in this environment is built on three things – information, innovation, and agility. The key to innovation and business agility is enabling change to take place in a safe and controlled manner – you don’t want to slow down change, only minimize disruption. Data flow orchestration.

Innovation 8

Innovation Data Warehouse Agile Digital Transformation 8

Actian

MAY 15, 2019

These are the business workflows that pull data from source systems and push data to downstream systems, enabling end-to-end business processes to function. Digital transformation of business has increased the need for integrated transactional workflows and the frictionless flow of information among transactional systems.

Data Warehouse 40

Data Warehouse Digital Transformation User Experience Government 40

Actian

JULY 8, 2019

Every piece of data you collect has a time stamp of when it was created or observed. Data starts aging from the time it is created, not when it is collected and added to a data warehouse. It is important to understand when your data was collected and how current the data is you ingest from different data sources.

Data Warehouse 40

Data Warehouse Real-time Data Data Management Agile 40

Actian

MAY 21, 2019

On the contrary, storing and maintaining data you aren’t using is actually a liability. Data only creates value for a company when it is used to drive business decisions, establish sustainable competitive advantage and enable business agility. Data is a tool (not an asset) and value is only created when data is being consumed.

Big Data 40

Big Data Data Warehouse Artificial Intelligence Digital Transformation 40

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52